On Solving the Profit Maximization of Small Cogeneration Systems
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  • 作者:Ana C. M. Ferreira (1) acferreira@dps.uminho.pt
    Ana Maria A. C. Rocha (2) arocha@dps.uminho.pt
    Senhorinha F. C. F. Teixeira (1) st@dps.uminho.pt
    Manuel L. Nunes (1) lnunes@dps.uminho.pt
    Luís B. Martins (3) lmartins@dem.uminho.pt
  • 关键词:cogeneration model – thermoeconomics – numerical optimization
  • 刊名:Lecture Notes in Computer Science
  • 出版年:2012
  • 出版时间:2012
  • 年:2012
  • 卷:7335
  • 期:1
  • 页码:147-158
  • 全文大小:200.4 KB
  • 参考文献:1. Alanne, K., Saari, A.: Sustainable small-scale CHP technologies for buildings: the basis for multi-perspective decision-making. Renew Sustain Energy Review 8(5), 401–431 (2004)
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    13. Martins, L.B., Ferreira A.C.M., Nunes, M.L., Le?o, C.P., Teixeira, S.F.C.F., Marques, F., Teixeira, J.C.F.: Optimal Design of Micro-Turbine Cogeneration Systems for the Portuguese Buildings Sector. In: Proceedings of the ASME 2011 International Mechanical Engineering Congress & Exposition, IMECE 2011–64470, (DVD), Denver, Colorado, USA, 8 pages (2011)
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  • 作者单位:1. CITEPE R&D Centre, University of Minho, Portugal2. Algoritmi R&D Centre, University of Minho, Portugal3. Mechanical & Materials Technologies R&D Centre, University of Minho, Portugal
  • 刊物类别:Computer Science
  • 刊物主题:Artificial Intelligence and Robotics
    Computer Communication Networks
    Software Engineering
    Data Encryption
    Database Management
    Computation by Abstract Devices
    Algorithm Analysis and Problem Complexity
  • 出版者:Springer Berlin / Heidelberg
  • ISSN:1611-3349
文摘
Cogeneration is a high-efficiency technology that has been adapted to small and micro scale applications. In this work, the development and test of a numerical optimization model is carried out in order to implement an analysis that will lead to the optimal design of a small cogeneration system. The main idea is the integration of technical and economic aspects in the design of decentralized energy production considering the requirements for energy consumption for the building sector. The nonlinear optimization model was solved in MatLab?environment using two local optimization methods: the Box and the SQP method. The optimal solution provided a positive annual worth and disclosed reasonable values for the decision variables of the thermo-economic model. Both methods converged for the same solution, demonstrating the validity of the implemented approach. This study confirmed that the use of numerical optimization models is of utmost importance in the assessment of energy systems sustainability.

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